In this paper, we analyzed the performance of different transformer models for regret and
hope speech detection on two novel datasets. For the regret detection task, we compared …

Emotion and targeted abuse detection ie threat, are problems that have been studied in
many rich resource languages. However, when it comes to low-resource languages such as …

Hope plays a crucial role in human psychology, yet research on its expression and detection
across languages is limited. This study addresses this gap by develo** the first multiclass …

Abstract Sentiment Multi-Classification detection has gained much attention in recent years.
The multi-label sentiment detection task refers to additional comments based on social …

Nowadays, the use of emojis is very common to show our emotions with just a single image
instead of long sentences describing our emotions. Each emoji describes a particular …

Social media platforms have connected billions of people and helped them share their views
on these platforms. However, the problem arises when malicious users abuse, show anger …

Abstract Emotion Analysis is a Natural Language Processing task whose objective is to
obtain fine-grained emotions from a text. The understanding of emotions in written …

With social media becoming an important medium for spreading information in people's
daily lives, the detection of threatening speech has become increasingly necessary …

Our participation in the EmoThreat 2022 challenge relied on 3 distinct methods. We used
algorithms based on BERT, a traditional statistic method and unsupervised Multi Word …